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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Feb 2014 14:33:05 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t1392579193s4djt1wsu75hfcm.htm/, Retrieved Sat, 18 May 2024 07:03:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233811, Retrieved Sat, 18 May 2024 07:03:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-02-16 19:33:05] [7924821bfd3c647737470140bc76edc8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
71.97
72.32
74.07
77.95
81.75
80.81
74.1
71.37
75.21
76.9
74.44
74.76
76.23
76.97
78.4
78.6
80.08
81.12
80.31
84.59
81.34
80.95
80.48
75.26
76.32
78.92
80.47
83.14
85.42
81.53
87.31
86.01
85.1
79.91
78.6
78.6
79.37
82.89
84.43
85.32
87.71
84.68
80.62
84.79
85.49
81.68
77.69
78.31
79.18
80.91
83.91
86.3
89.76
85.11
83.81
85.36
85.89
82.59
80.87
80.27
81.36
84.81
90.3
95.43
97.59
97.8
99.48
97.52
104.39
97.74
91.37
92.42
96.9
101.58
105.46
110.06
107.9
102.87
96.28
98.59
103.22
98.6
91.79
93.83
95.17
95.19
99.44
109.18
109.15
109.72
108.41
102.96
107.64
97.28
97.25
91.84
94.12
97.86
98.83
102.29
104.49
102.11
102.14
101.28
101.21
94.2
88.47
88.08
88.02
92.95
97.05
101.44
100.34
99.98
94.17
94.54
95.12
98.04
93.72
93.83
93.03
95.81
99.1
100.12
100.67
103.87
102.39
107.21
105.71
99.79
96.12
96.17
97.23
98.08
99.84
99.72
99.92
102.7
102.06
102.36
102.43
100.6
98.4
98.61
103.03
104.7
107.45
109.67
110.54
112.05
113.19
114.2
112.56
107.36
103.93
103.83
104.74
107.5
109.53
109.42
108.6
110.72
105.1
105.19
102.55
101.25
101.56
101.62
101.7
102.94
104.37
106.93
107.82
110.83
106.86
109.46
108.8
108.69
107.77
108.64
108.5
113.84
114.59
116.27
113.63
112.29
110.31
108.47
110.67
109.1
107.02
108.12
106.69
109.87
110.82
114.14
113.31
115.16
111.06
111.13
115.96
117.57
114.69
119.42
118.4
123.32
123.39
127.04
129.35
127.12
122.1
120.22
121.53
119.01
114.27
114.46

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233811&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233811&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233811&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0172.434946594870.96223585728878
0.0273.79138611919040.953151742193502
0.0374.78912028356570.885357839243244
0.0475.62708726569911.0267842246997
0.0576.44265224279681.08998199261982
0.0677.19565812156371.03191002984684
0.0777.83910418803340.912170820993972
0.0878.37386513200270.818596231064917
0.0978.83780188530230.79682130410053
0.179.26856149023860.806656249563779
0.1179.67701741432160.788733799170557
0.1280.05389812537220.734267335593802
0.1380.39355312351020.682965411582577
0.1480.70832812313420.683811848728263
0.1581.02597668102470.764024924795192
0.1681.37790152320550.915969409521944
0.1781.78667192194091.1033413675223
0.1882.25735094744971.27402486590002
0.1982.77558918570721.38264511947963
0.283.31405096169821.40885443312385
0.2183.84510890653161.37168267887823
0.2284.35399838664661.32286376030706
0.2384.84618060504511.32421949780727
0.2485.34593609281171.42342773079711
0.2585.88757898376161.63118144456238
0.2686.50342380163161.91995696651728
0.2787.21295717133192.23644610691272
0.2888.01638716891022.51953103949549
0.2988.89396685563282.71380610314693
0.389.81081493400652.78540059024236
0.3190.72554608483672.72876047222997
0.3291.60001437355222.56705848315492
0.3392.40718830861062.3426176615683
0.3493.13490511237652.10362582619546
0.3593.78485119926211.88789415357643
0.3694.36790777131921.71543538616636
0.3794.898151216891.58640703625697
0.3895.38785267682661.48758954972309
0.3995.84493333943961.40304441197382
0.496.27306672873961.32127137742434
0.4196.67357299333931.23866947447483
0.4297.04777941169771.16038228559693
0.4397.39867476161311.09462822609403
0.4497.73127087314491.04788352995502
0.4598.05178521281481.02258466627143
0.4698.36626005114491.01563038028004
0.4798.67934920474231.02016319825569
0.4898.99374478011161.02908248988932
0.4999.31027834429861.03679967911289
0.599.628381474261.0407088342333
0.5199.94651977958341.03777421146225
0.52100.262421484681.02651059583041
0.53100.5732183473561.0043346563722
0.54100.8757650615510.971184816291978
0.55101.1672972494510.929203846842725
0.56101.4463289359250.884034977290518
0.57101.7134848973360.844377890646193
0.58101.9719437470180.818914057392132
0.59102.227307969910.815058487564616
0.6102.4869071138450.837114191079334
0.61102.758704011150.88483982744627
0.62103.0500905914850.953551586941591
0.63103.3668941839411.03639198317326
0.64103.7127950839151.12542282379265
0.65104.0890785004071.21324663630137
0.66104.4943912229281.2918335249962
0.67104.9242332098721.3509138759379
0.68105.3703787887191.3790336395643
0.69105.8209539848721.36477550089513
0.7106.2619145783941.30539717877871
0.71106.6799154113771.20744595735916
0.72107.0655026502481.08808319889706
0.73107.4150966923440.967918346555386
0.74107.7308616375860.862443196663649
0.75108.0188288249670.780710967158362
0.76108.286541936380.72197790428374
0.77108.5413975586580.683654843596806
0.78108.7900603198620.662368753178568
0.79109.0386065815230.656300366602134
0.8109.292857642670.664525312217936
0.81109.5586475372670.68596974952259
0.82109.8422824984350.721168213411466
0.83110.1517522682910.773709964131127
0.84110.4985048096080.852753273469072
0.85110.897505469740.965011197188326
0.86111.3620349449231.0976843717151
0.87111.8929622102831.20830727850262
0.88112.4698353042331.24368182481039
0.89113.0556772134271.18174319238084
0.9113.6212590504531.06606859829287
0.91114.1796736942571.00810247830797
0.92114.8072173803991.1315643610525
0.93115.621707370041.44863271445242
0.94116.7124609530571.80362197516896
0.95118.0793772210522.00543419539345
0.96119.6664506679412.02971103528922
0.97121.4780634370491.99616042139395
0.98123.7289905044212.14873552616244
0.99126.6337789631531.95999010038543

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 72.43494659487 & 0.96223585728878 \tabularnewline
0.02 & 73.7913861191904 & 0.953151742193502 \tabularnewline
0.03 & 74.7891202835657 & 0.885357839243244 \tabularnewline
0.04 & 75.6270872656991 & 1.0267842246997 \tabularnewline
0.05 & 76.4426522427968 & 1.08998199261982 \tabularnewline
0.06 & 77.1956581215637 & 1.03191002984684 \tabularnewline
0.07 & 77.8391041880334 & 0.912170820993972 \tabularnewline
0.08 & 78.3738651320027 & 0.818596231064917 \tabularnewline
0.09 & 78.8378018853023 & 0.79682130410053 \tabularnewline
0.1 & 79.2685614902386 & 0.806656249563779 \tabularnewline
0.11 & 79.6770174143216 & 0.788733799170557 \tabularnewline
0.12 & 80.0538981253722 & 0.734267335593802 \tabularnewline
0.13 & 80.3935531235102 & 0.682965411582577 \tabularnewline
0.14 & 80.7083281231342 & 0.683811848728263 \tabularnewline
0.15 & 81.0259766810247 & 0.764024924795192 \tabularnewline
0.16 & 81.3779015232055 & 0.915969409521944 \tabularnewline
0.17 & 81.7866719219409 & 1.1033413675223 \tabularnewline
0.18 & 82.2573509474497 & 1.27402486590002 \tabularnewline
0.19 & 82.7755891857072 & 1.38264511947963 \tabularnewline
0.2 & 83.3140509616982 & 1.40885443312385 \tabularnewline
0.21 & 83.8451089065316 & 1.37168267887823 \tabularnewline
0.22 & 84.3539983866466 & 1.32286376030706 \tabularnewline
0.23 & 84.8461806050451 & 1.32421949780727 \tabularnewline
0.24 & 85.3459360928117 & 1.42342773079711 \tabularnewline
0.25 & 85.8875789837616 & 1.63118144456238 \tabularnewline
0.26 & 86.5034238016316 & 1.91995696651728 \tabularnewline
0.27 & 87.2129571713319 & 2.23644610691272 \tabularnewline
0.28 & 88.0163871689102 & 2.51953103949549 \tabularnewline
0.29 & 88.8939668556328 & 2.71380610314693 \tabularnewline
0.3 & 89.8108149340065 & 2.78540059024236 \tabularnewline
0.31 & 90.7255460848367 & 2.72876047222997 \tabularnewline
0.32 & 91.6000143735522 & 2.56705848315492 \tabularnewline
0.33 & 92.4071883086106 & 2.3426176615683 \tabularnewline
0.34 & 93.1349051123765 & 2.10362582619546 \tabularnewline
0.35 & 93.7848511992621 & 1.88789415357643 \tabularnewline
0.36 & 94.3679077713192 & 1.71543538616636 \tabularnewline
0.37 & 94.89815121689 & 1.58640703625697 \tabularnewline
0.38 & 95.3878526768266 & 1.48758954972309 \tabularnewline
0.39 & 95.8449333394396 & 1.40304441197382 \tabularnewline
0.4 & 96.2730667287396 & 1.32127137742434 \tabularnewline
0.41 & 96.6735729933393 & 1.23866947447483 \tabularnewline
0.42 & 97.0477794116977 & 1.16038228559693 \tabularnewline
0.43 & 97.3986747616131 & 1.09462822609403 \tabularnewline
0.44 & 97.7312708731449 & 1.04788352995502 \tabularnewline
0.45 & 98.0517852128148 & 1.02258466627143 \tabularnewline
0.46 & 98.3662600511449 & 1.01563038028004 \tabularnewline
0.47 & 98.6793492047423 & 1.02016319825569 \tabularnewline
0.48 & 98.9937447801116 & 1.02908248988932 \tabularnewline
0.49 & 99.3102783442986 & 1.03679967911289 \tabularnewline
0.5 & 99.62838147426 & 1.0407088342333 \tabularnewline
0.51 & 99.9465197795834 & 1.03777421146225 \tabularnewline
0.52 & 100.26242148468 & 1.02651059583041 \tabularnewline
0.53 & 100.573218347356 & 1.0043346563722 \tabularnewline
0.54 & 100.875765061551 & 0.971184816291978 \tabularnewline
0.55 & 101.167297249451 & 0.929203846842725 \tabularnewline
0.56 & 101.446328935925 & 0.884034977290518 \tabularnewline
0.57 & 101.713484897336 & 0.844377890646193 \tabularnewline
0.58 & 101.971943747018 & 0.818914057392132 \tabularnewline
0.59 & 102.22730796991 & 0.815058487564616 \tabularnewline
0.6 & 102.486907113845 & 0.837114191079334 \tabularnewline
0.61 & 102.75870401115 & 0.88483982744627 \tabularnewline
0.62 & 103.050090591485 & 0.953551586941591 \tabularnewline
0.63 & 103.366894183941 & 1.03639198317326 \tabularnewline
0.64 & 103.712795083915 & 1.12542282379265 \tabularnewline
0.65 & 104.089078500407 & 1.21324663630137 \tabularnewline
0.66 & 104.494391222928 & 1.2918335249962 \tabularnewline
0.67 & 104.924233209872 & 1.3509138759379 \tabularnewline
0.68 & 105.370378788719 & 1.3790336395643 \tabularnewline
0.69 & 105.820953984872 & 1.36477550089513 \tabularnewline
0.7 & 106.261914578394 & 1.30539717877871 \tabularnewline
0.71 & 106.679915411377 & 1.20744595735916 \tabularnewline
0.72 & 107.065502650248 & 1.08808319889706 \tabularnewline
0.73 & 107.415096692344 & 0.967918346555386 \tabularnewline
0.74 & 107.730861637586 & 0.862443196663649 \tabularnewline
0.75 & 108.018828824967 & 0.780710967158362 \tabularnewline
0.76 & 108.28654193638 & 0.72197790428374 \tabularnewline
0.77 & 108.541397558658 & 0.683654843596806 \tabularnewline
0.78 & 108.790060319862 & 0.662368753178568 \tabularnewline
0.79 & 109.038606581523 & 0.656300366602134 \tabularnewline
0.8 & 109.29285764267 & 0.664525312217936 \tabularnewline
0.81 & 109.558647537267 & 0.68596974952259 \tabularnewline
0.82 & 109.842282498435 & 0.721168213411466 \tabularnewline
0.83 & 110.151752268291 & 0.773709964131127 \tabularnewline
0.84 & 110.498504809608 & 0.852753273469072 \tabularnewline
0.85 & 110.89750546974 & 0.965011197188326 \tabularnewline
0.86 & 111.362034944923 & 1.0976843717151 \tabularnewline
0.87 & 111.892962210283 & 1.20830727850262 \tabularnewline
0.88 & 112.469835304233 & 1.24368182481039 \tabularnewline
0.89 & 113.055677213427 & 1.18174319238084 \tabularnewline
0.9 & 113.621259050453 & 1.06606859829287 \tabularnewline
0.91 & 114.179673694257 & 1.00810247830797 \tabularnewline
0.92 & 114.807217380399 & 1.1315643610525 \tabularnewline
0.93 & 115.62170737004 & 1.44863271445242 \tabularnewline
0.94 & 116.712460953057 & 1.80362197516896 \tabularnewline
0.95 & 118.079377221052 & 2.00543419539345 \tabularnewline
0.96 & 119.666450667941 & 2.02971103528922 \tabularnewline
0.97 & 121.478063437049 & 1.99616042139395 \tabularnewline
0.98 & 123.728990504421 & 2.14873552616244 \tabularnewline
0.99 & 126.633778963153 & 1.95999010038543 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233811&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]72.43494659487[/C][C]0.96223585728878[/C][/ROW]
[ROW][C]0.02[/C][C]73.7913861191904[/C][C]0.953151742193502[/C][/ROW]
[ROW][C]0.03[/C][C]74.7891202835657[/C][C]0.885357839243244[/C][/ROW]
[ROW][C]0.04[/C][C]75.6270872656991[/C][C]1.0267842246997[/C][/ROW]
[ROW][C]0.05[/C][C]76.4426522427968[/C][C]1.08998199261982[/C][/ROW]
[ROW][C]0.06[/C][C]77.1956581215637[/C][C]1.03191002984684[/C][/ROW]
[ROW][C]0.07[/C][C]77.8391041880334[/C][C]0.912170820993972[/C][/ROW]
[ROW][C]0.08[/C][C]78.3738651320027[/C][C]0.818596231064917[/C][/ROW]
[ROW][C]0.09[/C][C]78.8378018853023[/C][C]0.79682130410053[/C][/ROW]
[ROW][C]0.1[/C][C]79.2685614902386[/C][C]0.806656249563779[/C][/ROW]
[ROW][C]0.11[/C][C]79.6770174143216[/C][C]0.788733799170557[/C][/ROW]
[ROW][C]0.12[/C][C]80.0538981253722[/C][C]0.734267335593802[/C][/ROW]
[ROW][C]0.13[/C][C]80.3935531235102[/C][C]0.682965411582577[/C][/ROW]
[ROW][C]0.14[/C][C]80.7083281231342[/C][C]0.683811848728263[/C][/ROW]
[ROW][C]0.15[/C][C]81.0259766810247[/C][C]0.764024924795192[/C][/ROW]
[ROW][C]0.16[/C][C]81.3779015232055[/C][C]0.915969409521944[/C][/ROW]
[ROW][C]0.17[/C][C]81.7866719219409[/C][C]1.1033413675223[/C][/ROW]
[ROW][C]0.18[/C][C]82.2573509474497[/C][C]1.27402486590002[/C][/ROW]
[ROW][C]0.19[/C][C]82.7755891857072[/C][C]1.38264511947963[/C][/ROW]
[ROW][C]0.2[/C][C]83.3140509616982[/C][C]1.40885443312385[/C][/ROW]
[ROW][C]0.21[/C][C]83.8451089065316[/C][C]1.37168267887823[/C][/ROW]
[ROW][C]0.22[/C][C]84.3539983866466[/C][C]1.32286376030706[/C][/ROW]
[ROW][C]0.23[/C][C]84.8461806050451[/C][C]1.32421949780727[/C][/ROW]
[ROW][C]0.24[/C][C]85.3459360928117[/C][C]1.42342773079711[/C][/ROW]
[ROW][C]0.25[/C][C]85.8875789837616[/C][C]1.63118144456238[/C][/ROW]
[ROW][C]0.26[/C][C]86.5034238016316[/C][C]1.91995696651728[/C][/ROW]
[ROW][C]0.27[/C][C]87.2129571713319[/C][C]2.23644610691272[/C][/ROW]
[ROW][C]0.28[/C][C]88.0163871689102[/C][C]2.51953103949549[/C][/ROW]
[ROW][C]0.29[/C][C]88.8939668556328[/C][C]2.71380610314693[/C][/ROW]
[ROW][C]0.3[/C][C]89.8108149340065[/C][C]2.78540059024236[/C][/ROW]
[ROW][C]0.31[/C][C]90.7255460848367[/C][C]2.72876047222997[/C][/ROW]
[ROW][C]0.32[/C][C]91.6000143735522[/C][C]2.56705848315492[/C][/ROW]
[ROW][C]0.33[/C][C]92.4071883086106[/C][C]2.3426176615683[/C][/ROW]
[ROW][C]0.34[/C][C]93.1349051123765[/C][C]2.10362582619546[/C][/ROW]
[ROW][C]0.35[/C][C]93.7848511992621[/C][C]1.88789415357643[/C][/ROW]
[ROW][C]0.36[/C][C]94.3679077713192[/C][C]1.71543538616636[/C][/ROW]
[ROW][C]0.37[/C][C]94.89815121689[/C][C]1.58640703625697[/C][/ROW]
[ROW][C]0.38[/C][C]95.3878526768266[/C][C]1.48758954972309[/C][/ROW]
[ROW][C]0.39[/C][C]95.8449333394396[/C][C]1.40304441197382[/C][/ROW]
[ROW][C]0.4[/C][C]96.2730667287396[/C][C]1.32127137742434[/C][/ROW]
[ROW][C]0.41[/C][C]96.6735729933393[/C][C]1.23866947447483[/C][/ROW]
[ROW][C]0.42[/C][C]97.0477794116977[/C][C]1.16038228559693[/C][/ROW]
[ROW][C]0.43[/C][C]97.3986747616131[/C][C]1.09462822609403[/C][/ROW]
[ROW][C]0.44[/C][C]97.7312708731449[/C][C]1.04788352995502[/C][/ROW]
[ROW][C]0.45[/C][C]98.0517852128148[/C][C]1.02258466627143[/C][/ROW]
[ROW][C]0.46[/C][C]98.3662600511449[/C][C]1.01563038028004[/C][/ROW]
[ROW][C]0.47[/C][C]98.6793492047423[/C][C]1.02016319825569[/C][/ROW]
[ROW][C]0.48[/C][C]98.9937447801116[/C][C]1.02908248988932[/C][/ROW]
[ROW][C]0.49[/C][C]99.3102783442986[/C][C]1.03679967911289[/C][/ROW]
[ROW][C]0.5[/C][C]99.62838147426[/C][C]1.0407088342333[/C][/ROW]
[ROW][C]0.51[/C][C]99.9465197795834[/C][C]1.03777421146225[/C][/ROW]
[ROW][C]0.52[/C][C]100.26242148468[/C][C]1.02651059583041[/C][/ROW]
[ROW][C]0.53[/C][C]100.573218347356[/C][C]1.0043346563722[/C][/ROW]
[ROW][C]0.54[/C][C]100.875765061551[/C][C]0.971184816291978[/C][/ROW]
[ROW][C]0.55[/C][C]101.167297249451[/C][C]0.929203846842725[/C][/ROW]
[ROW][C]0.56[/C][C]101.446328935925[/C][C]0.884034977290518[/C][/ROW]
[ROW][C]0.57[/C][C]101.713484897336[/C][C]0.844377890646193[/C][/ROW]
[ROW][C]0.58[/C][C]101.971943747018[/C][C]0.818914057392132[/C][/ROW]
[ROW][C]0.59[/C][C]102.22730796991[/C][C]0.815058487564616[/C][/ROW]
[ROW][C]0.6[/C][C]102.486907113845[/C][C]0.837114191079334[/C][/ROW]
[ROW][C]0.61[/C][C]102.75870401115[/C][C]0.88483982744627[/C][/ROW]
[ROW][C]0.62[/C][C]103.050090591485[/C][C]0.953551586941591[/C][/ROW]
[ROW][C]0.63[/C][C]103.366894183941[/C][C]1.03639198317326[/C][/ROW]
[ROW][C]0.64[/C][C]103.712795083915[/C][C]1.12542282379265[/C][/ROW]
[ROW][C]0.65[/C][C]104.089078500407[/C][C]1.21324663630137[/C][/ROW]
[ROW][C]0.66[/C][C]104.494391222928[/C][C]1.2918335249962[/C][/ROW]
[ROW][C]0.67[/C][C]104.924233209872[/C][C]1.3509138759379[/C][/ROW]
[ROW][C]0.68[/C][C]105.370378788719[/C][C]1.3790336395643[/C][/ROW]
[ROW][C]0.69[/C][C]105.820953984872[/C][C]1.36477550089513[/C][/ROW]
[ROW][C]0.7[/C][C]106.261914578394[/C][C]1.30539717877871[/C][/ROW]
[ROW][C]0.71[/C][C]106.679915411377[/C][C]1.20744595735916[/C][/ROW]
[ROW][C]0.72[/C][C]107.065502650248[/C][C]1.08808319889706[/C][/ROW]
[ROW][C]0.73[/C][C]107.415096692344[/C][C]0.967918346555386[/C][/ROW]
[ROW][C]0.74[/C][C]107.730861637586[/C][C]0.862443196663649[/C][/ROW]
[ROW][C]0.75[/C][C]108.018828824967[/C][C]0.780710967158362[/C][/ROW]
[ROW][C]0.76[/C][C]108.28654193638[/C][C]0.72197790428374[/C][/ROW]
[ROW][C]0.77[/C][C]108.541397558658[/C][C]0.683654843596806[/C][/ROW]
[ROW][C]0.78[/C][C]108.790060319862[/C][C]0.662368753178568[/C][/ROW]
[ROW][C]0.79[/C][C]109.038606581523[/C][C]0.656300366602134[/C][/ROW]
[ROW][C]0.8[/C][C]109.29285764267[/C][C]0.664525312217936[/C][/ROW]
[ROW][C]0.81[/C][C]109.558647537267[/C][C]0.68596974952259[/C][/ROW]
[ROW][C]0.82[/C][C]109.842282498435[/C][C]0.721168213411466[/C][/ROW]
[ROW][C]0.83[/C][C]110.151752268291[/C][C]0.773709964131127[/C][/ROW]
[ROW][C]0.84[/C][C]110.498504809608[/C][C]0.852753273469072[/C][/ROW]
[ROW][C]0.85[/C][C]110.89750546974[/C][C]0.965011197188326[/C][/ROW]
[ROW][C]0.86[/C][C]111.362034944923[/C][C]1.0976843717151[/C][/ROW]
[ROW][C]0.87[/C][C]111.892962210283[/C][C]1.20830727850262[/C][/ROW]
[ROW][C]0.88[/C][C]112.469835304233[/C][C]1.24368182481039[/C][/ROW]
[ROW][C]0.89[/C][C]113.055677213427[/C][C]1.18174319238084[/C][/ROW]
[ROW][C]0.9[/C][C]113.621259050453[/C][C]1.06606859829287[/C][/ROW]
[ROW][C]0.91[/C][C]114.179673694257[/C][C]1.00810247830797[/C][/ROW]
[ROW][C]0.92[/C][C]114.807217380399[/C][C]1.1315643610525[/C][/ROW]
[ROW][C]0.93[/C][C]115.62170737004[/C][C]1.44863271445242[/C][/ROW]
[ROW][C]0.94[/C][C]116.712460953057[/C][C]1.80362197516896[/C][/ROW]
[ROW][C]0.95[/C][C]118.079377221052[/C][C]2.00543419539345[/C][/ROW]
[ROW][C]0.96[/C][C]119.666450667941[/C][C]2.02971103528922[/C][/ROW]
[ROW][C]0.97[/C][C]121.478063437049[/C][C]1.99616042139395[/C][/ROW]
[ROW][C]0.98[/C][C]123.728990504421[/C][C]2.14873552616244[/C][/ROW]
[ROW][C]0.99[/C][C]126.633778963153[/C][C]1.95999010038543[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233811&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233811&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0172.434946594870.96223585728878
0.0273.79138611919040.953151742193502
0.0374.78912028356570.885357839243244
0.0475.62708726569911.0267842246997
0.0576.44265224279681.08998199261982
0.0677.19565812156371.03191002984684
0.0777.83910418803340.912170820993972
0.0878.37386513200270.818596231064917
0.0978.83780188530230.79682130410053
0.179.26856149023860.806656249563779
0.1179.67701741432160.788733799170557
0.1280.05389812537220.734267335593802
0.1380.39355312351020.682965411582577
0.1480.70832812313420.683811848728263
0.1581.02597668102470.764024924795192
0.1681.37790152320550.915969409521944
0.1781.78667192194091.1033413675223
0.1882.25735094744971.27402486590002
0.1982.77558918570721.38264511947963
0.283.31405096169821.40885443312385
0.2183.84510890653161.37168267887823
0.2284.35399838664661.32286376030706
0.2384.84618060504511.32421949780727
0.2485.34593609281171.42342773079711
0.2585.88757898376161.63118144456238
0.2686.50342380163161.91995696651728
0.2787.21295717133192.23644610691272
0.2888.01638716891022.51953103949549
0.2988.89396685563282.71380610314693
0.389.81081493400652.78540059024236
0.3190.72554608483672.72876047222997
0.3291.60001437355222.56705848315492
0.3392.40718830861062.3426176615683
0.3493.13490511237652.10362582619546
0.3593.78485119926211.88789415357643
0.3694.36790777131921.71543538616636
0.3794.898151216891.58640703625697
0.3895.38785267682661.48758954972309
0.3995.84493333943961.40304441197382
0.496.27306672873961.32127137742434
0.4196.67357299333931.23866947447483
0.4297.04777941169771.16038228559693
0.4397.39867476161311.09462822609403
0.4497.73127087314491.04788352995502
0.4598.05178521281481.02258466627143
0.4698.36626005114491.01563038028004
0.4798.67934920474231.02016319825569
0.4898.99374478011161.02908248988932
0.4999.31027834429861.03679967911289
0.599.628381474261.0407088342333
0.5199.94651977958341.03777421146225
0.52100.262421484681.02651059583041
0.53100.5732183473561.0043346563722
0.54100.8757650615510.971184816291978
0.55101.1672972494510.929203846842725
0.56101.4463289359250.884034977290518
0.57101.7134848973360.844377890646193
0.58101.9719437470180.818914057392132
0.59102.227307969910.815058487564616
0.6102.4869071138450.837114191079334
0.61102.758704011150.88483982744627
0.62103.0500905914850.953551586941591
0.63103.3668941839411.03639198317326
0.64103.7127950839151.12542282379265
0.65104.0890785004071.21324663630137
0.66104.4943912229281.2918335249962
0.67104.9242332098721.3509138759379
0.68105.3703787887191.3790336395643
0.69105.8209539848721.36477550089513
0.7106.2619145783941.30539717877871
0.71106.6799154113771.20744595735916
0.72107.0655026502481.08808319889706
0.73107.4150966923440.967918346555386
0.74107.7308616375860.862443196663649
0.75108.0188288249670.780710967158362
0.76108.286541936380.72197790428374
0.77108.5413975586580.683654843596806
0.78108.7900603198620.662368753178568
0.79109.0386065815230.656300366602134
0.8109.292857642670.664525312217936
0.81109.5586475372670.68596974952259
0.82109.8422824984350.721168213411466
0.83110.1517522682910.773709964131127
0.84110.4985048096080.852753273469072
0.85110.897505469740.965011197188326
0.86111.3620349449231.0976843717151
0.87111.8929622102831.20830727850262
0.88112.4698353042331.24368182481039
0.89113.0556772134271.18174319238084
0.9113.6212590504531.06606859829287
0.91114.1796736942571.00810247830797
0.92114.8072173803991.1315643610525
0.93115.621707370041.44863271445242
0.94116.7124609530571.80362197516896
0.95118.0793772210522.00543419539345
0.96119.6664506679412.02971103528922
0.97121.4780634370491.99616042139395
0.98123.7289905044212.14873552616244
0.99126.6337789631531.95999010038543


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')